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A Study on the Sentiment Analysis of Contemporary Pop Musicians and Classical Music Composers

  • 투고 : 2022.07.30
  • 심사 : 2022.09.05
  • 발행 : 2022.09.30

초록

The study examined a sentiment analysis based on Tweeter messages between contemporary pop musicians and classical music composers. Musicians of each genre were carefully selected for the sentiment analysis. Many opinion messages on Tweets that users have discussed were collected, and the messages were evaluated by using Naïve Bayes Classifier. The results demonstrated that users showed high positive sentiments for the two different genres. However, on average, the positive sentiment values for classical music composers are higher than for contemporary pop musicians. In addition, the rankings of the highest positive sentiments among contemporary pop musicians and classical music composers did not coincide with the popularity of the two different genres of musicians. This study will contribute to the study of future sentimental analysis between music and musicians.

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참고문헌

  1. P. N. Juslin and D. Vastfjall, "Emotional responses to music: The need to consider underlying mechanisms," Behavioral and Brain Sciences, Vol. 31, No. 5, pp. 559-575, 2008. https://doi.org/10.1017/S0140525X08005293
  2. L. Lundqvist, F. C. Carlsson, P. Hilmersson and P. Juslin, "Emotional responses to music: Experience, expression, and physiology," Psychology of Music, Vol. 37, No. 1, pp. 61-90, 2009. https://doi.org/10.1177/0305735607086048
  3. N. Logeswaran and J. Bhattacharya, "Crossmodal transfer of emotion by music," Neuroscience Letters, Vol. 455, No. 2, pp. 129-133, 2009. https://doi.org/10.1016/j.neulet.2009.03.044
  4. A. E. Krause, A. C. North and L. Y. Hewitt, "Music-listening in everyday life: Devices and choice," Psychology of Music, Vol. 43, No. 2, pp. 155-170, 2015. https://doi.org/10.1177/0305735613496860
  5. B. Pang and L. Lee, "Opinion mining and sentiment analysis," Foundations and Trends in Information Retrieval, Vol. 2, No.1-2, pp. 1-135, 2008. https://doi.org/10.1561/1500000011
  6. C. Yang, K. H. Lin and H. H. Chen, "Emotion classification using web blog corpora," in Proc. 2007 IEEE/WIC/ACM International Conference: Web Intelligence, pp. 275-278, 2007.
  7. B. Pang, L. Lee and S. Vaithyanathan, "Thumbs up? Sentiment classification using machine learning techniques," in Proc. 2002 Conference: Empirical Methods in Natural Language Processing, pp. 79-86, 2002.
  8. S. Kim and F. Hovy, "Determining the sentiment of opinions," in Proc. 20th international conference: Computational Linguistics, pp. 1367-1373, 2004.
  9. J. Read, "Using emoticons to reduce dependency in machine learning techniques for sentiment classification," in Proc. Association for Computing Linguistics Student Research Workshop, pp. 43-48, 2004.
  10. M. Daniel, R. Neves and N. Horta, "Company event popularity for financial markets using Twitter and sentiment analysis," Expert Systems with Applications, Vol. 71, pp. 111-124, 2017. https://doi.org/10.1016/j.eswa.2016.11.022
  11. T. Hamling and A. Agrawal, "Sentiment analysis of Tweets to gain insights into the 2016 US election," Columbia Undergraduate Science Journal, Vol. 11, pp. 34-42, 2017.
  12. L. A. Liikkanen, K. Jakubowski and J. M. Toivanen, "Catching earworms on Twitter: Using big data to study involuntary musical imagery," Music Perception: An Interdisciplinary Journal, Vol. 33, No. 2, pp. 199-216, 2015. https://doi.org/10.1525/mp.2015.33.2.199
  13. The Guardian https://www.theguardian.com/news/datablog/2013/apr/19/twitter-music-app-100-most-followed-musicians
  14. Discogs https://www.discogs.com/lists/The-50-Greatest-Composers/1571
  15. New York Times https://www.nytimes.com/2011/01/23/arts/music/23composers.html
  16. K. Dave, S. Lawrence and D. Pennock, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews," in Proc. 12th International Conference: Association for Computing Machinery, pp. 519-528, 2003.
  17. A. Pak and P. Paroubek, "Twitter as a corpus for sentiment analysis and opinion mining," in Proc. 7 th International Conference: Language Resource and Evolution, pp. 1320-1326, 2010.
  18. K. N. Olsen, M. Powell, A. Anic, R. J. Vallerand and W. F. Thompson, "Fans of violent music: The role of passion in positive and negative emotional experience," Musicae Scientiae, Vol. 26, No. 2, pp. 364-387, 2020.